Akce ČVUT

Přednáška - Ariel Shamir - The Face Of Art: Landmark Detection & Geometric Style in Portraits

19.11.2019   10:45

Krátká anotace přednášky: Neural networks abilities have been utilised in many fields in science and engineering. Recently, they have also been used in Art and design to stylise photographs guided by artworks of various artists. However, such stylisation mostly concentrates on the texture and the colour of the artworks. In this work we try to capture the Geometric style of artists using neural networks. We concentrate on portraits and propose a new method for landmark detection in paintings that allow us to analyse and capture geometric deformations in face paintings, and define a geometric style for artists. We demonstrate our technique by creating average portraits for Artists as well as defining a geometry-aware portrait stylisation algorithm. This work was published in SIGGRAPH 2019 and is joint work with Jordan Yaniv and Yael Newman. See http://www.faculty.idc.ac.il/arik/site/foa/face-of-art.asp

Bio: Ariel Shamir is the Dean of the Efi Arazi School of Computer Science at the Interdisciplinary Center in Israel. He received his Ph.D. in computer science in 2000 from the Hebrew University in Jerusalem. He spent two years as PostDoc at the University of Texas in Austin. Shamir has numerous publications and a number of patents. He is currently an associate editor for ACM Transactions on Graphics, Graphical Models and Computational Visual Media, and was an associate editor for Computers and Graphics journal (2010-2014), IEEE Transactions on Visualization and Computer Graphics (2015-2017), He also served on the program committee of many leading international conferences, including SIGGRAPH, SIGGRAPH Asia, and Eurographics. Shamir was named one of the most highly cited researchers on the Thomson Reuters list in 2015. He has a broad commercial experience consulting various companies including Disney research, Mitsubishi Electric, PrimeSense (now Apple), Verisk and more. Shamir specializes in geometric modeling, computer graphics, image processing and machine learning. He is a member of the ACM SIGGRAPH, IEEE Computer, AsiaGraphics and EuroGraphics associations.

Místo konání

ČVUT FEL, místnost KN:E-112 (Karlovo náměstí 13, Praha 2, budova E)

Pořadatel

Katedra počítačové grafiky a interakce

Kontaktní osoba

prof. Ing. Daniel Sýkora, Ph.D.

Podrobnější informace

https://dcgi.fel.cvut.cz/en/events/main#invited-talk-ariel-shamir-the-face-of-artlandmark-detection-geometric-style-in-portraits